# Eduardo Mangarelli

> Eduardo Mangarelli is a angel investor at Qool backing SaaS, Internet and Shipping. See 3 investments, check sizes, portfolio. Updated Aug 2026.

- Type: Angel Investor
- Fund: [Qool](https://shizune.co/investors/profile/qool)
- Total investments: 3
- Last investment: Jul 2016
- Lead investor: 0%
- Last updated: Aug 2026
- LinkedIn: https://uy.linkedin.com/in/mangarelli
- X (Twitter): https://twitter.com/emangare

Eduardo Mangarelli is a angel investor at Qool focused on SaaS and Internet. Eduardo Mangarelli - Founder @ Qool

## Investment focus

### Industry

| Industry | Investments | Share |
| --- | --- | --- |
| SaaS | 1 | 33% |
| Internet | 1 | 33% |
| Shipping | 1 | 33% |
| Logistics | 1 | 33% |
| Developer APIs | 1 | 33% |

9 industries tracked in total.

### Stage

| Stage | Investments | Share |
| --- | --- | --- |
| Angel | 1 | 33% |
| Pre-Seed | 1 | 33% |
| Series A | 1 | 33% |

### Country

| Country | Investments | Share |
| --- | --- | --- |
| Uruguay | 1 | 33% |
| United States | 1 | 33% |

## Investments

| Company | Description | Amount | Stage | Date | Website |
| --- | --- | --- | --- | --- | --- |
| gurucargo.com | Gurucargo is an innovative full-service “one-stop-shop” technology platform that does for cargo shipping what Expedia.com did for travel industry – create an “end-to-end” solution that simplifies the booking of sea, land and air based cargo shipping, with complete supply chain visibility at every step of the way, reducing costs in time and money,while maximizing efficiency and transparency. | $1.3M | Series A | Jul 03, 2016 |  |
| MonkeyLearn | MonkeyLearn provides a simple graphical interface where users can create customized text classification and extraction analysis by training machine learning models such as sentiment analysis, topic detection, keyword extraction, and more. MonkeyLearn can be integrated with hundreds of other applications through its direct integrations and open API.All of that without the need of roping in developers or data scientists! |  | Pre-Seed | Jul 11, 2014 |  |
| Tryolabs | Tryolabs helps companies build custom Machine Learning powered solutions to improve their KPIs. Their expertise includes Deep Learning, Computer Vision and NLP technologies to solve complex problems, tailored to individual business cases.Tryolabs' clients are mainly midsize companies based in the US, seeking support in the strategic analysisand the implementation of custom cutting-edge solutions.Tryolabs was founded in 2010 and is headquartered in Montevideo, Uruguay with an office in San Francisco, California. |  | Angel | Nov 01, 2012 |  |

3 of 3 investments shown.

## Co-investors
- [Angel Ventures](https://shizune.co/investors/profile/angel-ventures-mexico) — VC Fund, 1 deal together
- [Auria Capital](https://shizune.co/investors/profile/auria-capital) — VC Fund, 1 deal together

## About Qool

VC Fund



1 contacts available at Qool.

| Name | Title | Profile |
| --- | --- | --- |
| Eduardo Mangarelli | Founder | https://shizune.co/investors/profile/eduardo-mangarelli |

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## Featured in investor lists
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- [Internet Investors in Uruguay](https://shizune.co/investors/internet-investors-uruguay)

## FAQ

### What does Eduardo Mangarelli invest in?

Eduardo Mangarelli invests primarily in SaaS, Internet and Shipping startups, most often at Angel and Pre-Seed stage. Most of the 3 investments tracked by Shizune back companies in Uruguay. The Investment Focus section breaks down every industry, stage and country in the portfolio.

### When did Eduardo Mangarelli last invest?

The most recent investment recorded for Eduardo Mangarelli closed in Jul 2016. Shizune tracks 3 investments in total for this profile, including round sizes, stages and portfolio companies, all sourced from confirmed public funding rounds and refreshed monthly.

### Is Shizune's investor data accurate?

Yes — every stat on this profile is calculated from confirmed public funding rounds monitored across hundreds of sources since 2020. This profile was last refreshed in Aug 2026 and is updated monthly. Spotted something off? Use the “Suggest an edit” link near the top of the page.

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